All Technologies Used
Motivation
The customer, a well-known international staffing agency, aimed to audit and optimize the existing HR planning platform. The main goal was to address performance issues, stabilize the application, and create a roadmap for further improvements.
Main Challenges
The initial solution lacked proper structure, relying on a mix of separate functions created with various paradigms.
The back-end was built with Ruby on Rails, and the front-end used Angular.js, resulting in an 18-second initial page load time.
The absence of unit and functional tests made it challenging to introduce new features without breaking existing functionality.
Overreliance on Ruby Gems led to low performance and high memory consumption.
Key Features
- Scalable Architecture: Reliable application architecture designed for long-term scalability and optimal performance under load.
- Localization Support: Multilingual support implemented via i18n, enabling global reach through seamless localization.
- SQL and Memory Optimization: Refactored SQL workflows and reduced memory consumption by 20%, improving overall efficiency.
- Enhanced Front-End Performance: Implemented pagination and asset caching strategies to accelerate user-facing interactions.
- Automated Quality Assurance: Introduced automated test coverage for critical application logic, reducing regression risks.
Our Approach
Project Impact
Faster Page Loads: Initial page load time reduced dramatically — from 18 seconds to under 3 seconds, improving user experience.
Improved Back-End Efficiency: Back-end performance increased by 43%, allowing the system to handle more concurrent users.
Lower Resource Usage: RAM consumption was reduced by 20%, lowering infrastructure costs and improving stability.
Higher User Satisfaction: Performance improvements stabilized the customer base and increased user confidence in the platform.